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Conference Papers Year : 2004

Segmenting, modeling and matching video clips containing multiple moving objects

Abstract

This paper presents a novel representation for dynamic scenes composed of multiple rigid objects that may undergo different motions and be observed by a moving camera. Multi-view constraints associated with groups of affine-invariant scene patches and a normalized description of their appearance are used to segment a scene into its rigid parts, construct three-dimensional protective, affine, and Euclidean models of these parts, and match instances of models recovered from different image sequences. The proposed approach has been implemented, and it is applied to the detection and recognition of moving objects in video sequences and the identification of shots that depict the same scene in a video clip (shot matching).
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Dates and versions

inria-00548534 , version 1 (20-12-2010)

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Fred Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce. Segmenting, modeling and matching video clips containing multiple moving objects. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '04), Jun 2004, Washington, United States. pp.914--921, ⟨10.1109/CVPR.2004.1315263⟩. ⟨inria-00548534⟩
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